Scanner is a product by Scanner in the Security Data Pipelines category. It covers Log Management, S3 and Detection Rules.

What is the pricing for Scanner?

Scanner is a commercial product. For pricing, visit https://scanner.dev/ or contact Scanner.

What are alternatives to Scanner?

Alternatives to Scanner listed on CybersecTools: 1. Beacon Security Agentic SOC - AI-ready security data platform that normalizes & enriches telemetry for SOC agents. (Commercial) 2. Monad Embedded - Embed 350+ security data connectors in your product with two npm packages (Commercial) 3. Cribl Lake - Turnkey cloud-native data lake for telemetry storage, replay, and search. (Commercial) 4. Axoflow Platform - Security data pipeline platform for collecting, curating, and routing logs (Commercial) 5. ReliaQuest GreyMatter Transit - Real-time threat detection and telemetry routing platform for security data (Commercial) Compare all Scanner alternatives at https://cybersectools.com/alternatives/scanner

What deployment and organization size does Scanner fit?

Scanner is available as a cloud service. It is listed for small businesses, mid-market companies and enterprises. Pricing is commercial. Ask Scanner for pricing and support terms.

Scanner

byScanner

Security data lake platform for threat detection via S3-native log indexing.

Security Operations Security Data PipelinesCloudSMB · Mid-Market · EnterpriseCommercial

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What is Scanner?

Scanner is a security data platform that indexes and analyzes security logs directly from Amazon S3, where the data already resides, rather than requiring ingestion into a separate storage system. It is designed as an alternative to traditional SIEMs and data lakes, addressing common pain points such as high ingestion costs, slow query performance, and vendor lock-in.

Key characteristics:

Data remains in the customer's own cloud environment (S3), with no data movement to a vendor-controlled system
Supports continuous detection runs against the full stream of incoming security data
Enables historical search across years of log data in seconds
API-first architecture allows programmatic access to all queries and datasets, supporting custom workflows and integrations with existing security tooling
Native Model Context Protocol (MCP) support provides structured access to security data for AI agents and intelligence tools
Designed for AI workloads, enabling large-scale investigations that would otherwise be too slow or costly in traditional SIEMs

Compliance and security posture:

SOC 2 Type II certified
GDPR compliant
Data residency options available

The platform is used by companies across fintech, healthtech, and SaaS sectors. It is positioned as a security data lake solution with real-time detection capabilities, intended for security teams that require high data volume handling without the cost and operational overhead of conventional SIEMs.